Françoise Besançon

2.4k citations
53 papers · 1.9k indexed · h-index 22
Topics
NF-κB Signaling Pathways (15 papers)interferon and immune responses (13 papers)Immune Response and Inflammation (8 papers)
Partner nations
FranceUnited StatesItaly

In The Last Decade

Françoise Besançon

50 papers receiving 1.8k citations

Peers

Françoise Besançon
Comparison fields: 5 of 103
  • Molecular Biology 1.1k
  • Immunology 561
  • Epidemiology 445
  • Oncology 333
  • Cancer Research 325
Replace Long T. Quan with:
Long T. Quan United States
Akira Yuo Japan
Zhaoyu Jin United States
Julián Gómez-Cambronero United States
Keith G. Wolter United States
Cezary Wójcik United States
Sara Martínez‐Martínez Spain
Harutoshi Kizaki Japan
Hideyuki Miyoshi Japan
Patrick J. Duriez United Kingdom
Françoise Besançon relative to Long T. Quan United States Long T. Quan's profile →
Citations per field
00.5×1.5×2.4×
Long T. Quan · 1×
Citations per year

Countries citing papers authored by Françoise Besançon

Since Specialization
Citations

This map shows the geographic impact of Françoise Besançon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Françoise Besançon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Françoise Besançon more than expected).

Fields of papers citing papers by Françoise Besançon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Françoise Besançon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Françoise Besançon. The network helps show where Françoise Besançon may publish in the future.

Co-authorship network of co-authors of Françoise Besançon

This figure shows the co-authorship network connecting the top 25 collaborators of Françoise Besançon. A scholar is included among the top collaborators of Françoise Besançon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Françoise Besançon. Françoise Besançon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 46
2 389
3 19
4 19
5 84
6 16
7 115
8 73
9 99
10 44
11 23
12 57
13 7
14 6
15 3
16 21
17 48
18 8
19 2
20
[Sensitivity of cells in a state of antiviral resistance to interferon].
1

About Françoise Besançon

Françoise Besançon is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (15 papers), interferon and immune responses (13 papers) and Immune Response and Inflammation (8 papers). The work is most often cited by research in Immunology (561 citations), Cancer Research (325 citations) and Molecular Biology (1.1k citations). Françoise Besançon has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Delphine Javelaud, Helmut Ankel, Mojgan Djavaheri‐Mergny, Julie Mathieu, Juana Wietzerbin, Marie‐Françoise Bourgeade, Gérard Pierron, Sylvie Souquère, Chantal Bauvy and Patrice Codogno. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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